APPA Consulting

Post Scheduler is a tool designed to plan, schedule, and manage social media content in advance. The platform allows users to create posts, set publish times, and overview their scheduled content in a structured and intuitive interface, streamlining content workflows. Built with Next.js, TypeScript, and Tailwind CSS, the project emphasizes performance, usability, and responsiveness across devices. The architecture is modular and scalable, prepared for integrations such as API connections to social media platforms, user authentication, and analytics.

Hashlab is a frontend project focused on creative UI/UX interactions, animations, and visual exploration. The goal of the project is to demonstrate advanced frontend techniques and interactive design patterns in a polished, responsive web interface. The project is built with Next.js, TypeScript, and Tailwind CSS, emphasizing modular components, performance optimization, and visual refinement. Its structure allows for easy animations, state management, and new interaction models without affecting core routing or layout consistency.

Masonry Gallery is a visual showcase project that implements a Masonry-style grid to display images in an organic, Pinterest-like layout. The interface emphasizes smooth loading, responsive behavior, and elegant arrangement of media content for an engaging browsing experience. Implemented with Next.js, TypeScript, and Tailwind CSS, the project focuses on efficient layout rendering, performance, and accessibility. Its structure allows for future enhancements such as lazy loading, filtering, and dynamic content sourcing without breaking the core grid behavior.

Team Delivery is a website developed for a delivery company, focused on presenting its services, coverage, and business offering in a clear and professional way. The goal was to build a trustworthy online presence that allows potential clients to quickly understand the company’s logistics services and get in touch. The website is built using Next.js, TypeScript, and Tailwind CSS, with an emphasis on performance, responsive layouts, and clarity of information. The architecture supports future expansion, such as adding service details, pricing sections, or order and inquiry forms.

Attendance App is a system designed for attendance tracking with an emphasis on automated device identification. In addition to the web interface, the solution includes a Python script running in the background, responsible for collecting MAC addresses of devices present on the network, enabling more reliable presence detection without manual user input. The frontend is built with Next.js, TypeScript, and Tailwind CSS, focusing on clarity, reliability, and straightforward data presentation. The architecture separates data collection from visualization, allowing the Python-based collector to operate independently while the frontend remains lightweight and easy to extend with reporting, filtering, or administrative views.

Chat App is a communication platform developed as part of a project focused on online safety and grooming prevention. The application provides a structured chat environment that can serve as a foundation for detecting and addressing risky behavior, while maintaining clear communication flows between users. The system includes a backend built with PHP and MySQL, containerized using Docker, and a Vue.js frontend styled with Bootstrap. While the architecture is prepared for future extensions—such as AI-based analysis of voice messages to detect suspicious activity—the current implementation focuses on reliable messaging, data handling, and a clear separation between frontend and backend responsibilities.